dependent variable=         MINELIG 

===============================================================================
                    ** A Beta Model, Analytical Solution **                    
===============================================================================
 CML Version 1.0.0                                           6/05/01   2:16 pm
===============================================================================

return code =    0
normal convergence

Mean log-likelihood        0.416762
Number of cases     182

Covariance of the parameters computed by the following method:
Inverse of computed Hessian

Parameters    Estimates     Std. err.  Est./s.e.  Prob.    Gradient
------------------------------------------------------------------
const            0.6211        0.7686    0.808   0.2095      0.0000
EFFICNCY        -5.4652        4.2726   -1.279   0.1004      0.0000
RESPMIN          0.0074        0.0163    0.457   0.3237      0.0000
HARDSHIP         0.8973        1.4334    0.626   0.2657      0.0000
MINORITY        -0.4030        0.3027   -1.331   0.0916      0.0000
const            4.7704        0.7163    6.660   0.0000      0.0000
EFFICNCY        -4.9302        3.6015   -1.369   0.0855      0.0000
RESPMIN         -0.1096        0.0141   -7.793   0.0000      0.0000
HARDSHIP        -1.9493        1.2900   -1.511   0.0654      0.0000
MINORITY        -0.4259        0.2652   -1.606   0.0541      0.0000

Correlation matrix of the parameters
   1.000  -0.518  -0.524  -0.607   0.327   0.715  -0.350  -0.367  -0.501
   0.282
  -0.518   1.000   0.106  -0.031   0.114  -0.291   0.743  -0.017  -0.035
   0.106
  -0.524   0.106   1.000  -0.146  -0.175  -0.295  -0.002   0.676  -0.110
  -0.170
  -0.607  -0.031  -0.146   1.000  -0.476  -0.536  -0.007  -0.038   0.818
  -0.393
   0.327   0.114  -0.175  -0.476   1.000   0.309   0.089  -0.201  -0.411
   0.715
   0.715  -0.291  -0.295  -0.536   0.309   1.000  -0.392  -0.557  -0.719
   0.370
  -0.350   0.743  -0.002  -0.007   0.089  -0.392   1.000  -0.071  -0.004
   0.158
  -0.367  -0.017   0.676  -0.038  -0.201  -0.557  -0.071   1.000   0.050
  -0.350
  -0.501  -0.035  -0.110   0.818  -0.411  -0.719  -0.004   0.050   1.000
  -0.449
   0.282   0.106  -0.170  -0.393   0.715   0.370   0.158  -0.350  -0.449
   1.000

Number of iterations    3
Minutes to convergence     0.01019

   -0.0069061488 
      0.32597775 
      0.12787968 
    0.0046862254 

        EFFICNCY 
         RESPMIN 
        HARDSHIP 
        MINORITY 
   -0.0083141110      0.037339737     -0.018871105      0.083659633 
      0.32571831      0.030984392       0.72613965      0.044084576 
      0.12732373      0.037280014       0.42579527       0.11201997 
    0.0050161295      0.045287621     0.0053525417      0.053205023 

        EFFICNCY 
         RESPMIN 
        HARDSHIP 
        MINORITY 
     0.011946754     0.0092332922      0.027063974      0.021065905 
    0.0067794706     0.0080505142      0.033111664     0.0089432330 
   -0.0030404827      0.010671810   -0.00021544116      0.028498371 
     0.015029898      0.010610317      0.018685412      0.014009423 
mean alpha= 1.91059 
mean beta= 1.33524 
ave mean= 0.58863 
ave var= 0.05703 
Valid cases:                   182      Dependent variable:                   Y
Missing cases:                   0      Deletion method:                   None
Total SS:                   11.838      Degrees of freedom:                 177
R-squared:                   0.443      Rbar-squared:                     0.430
Residual SS:                 6.594      Std error of est:                 0.193
F(4,177):                   35.190      Probability of F:                 0.000

                         Standard                 Prob   Standardized  Cor with
Variable     Estimate      Error      t-value     >|t|     Estimate    Dep Var
-------------------------------------------------------------------------------
CONSTANT    -0.372758    0.116582   -3.197398     0.002       ---         ---  
X1          -0.096244    0.552436   -0.174218     0.862   -0.010030   -0.149899
X2           0.026837    0.002600   10.320449     0.000    0.625684    0.640529
X3           0.477869    0.161249    2.963549     0.003    0.174253    0.203220
X4           0.011322    0.037926    0.298538     0.766    0.018704    0.282979
 0.00990  0.99990 
 0.12167  0.88818 
 0.04931  0.95947 
 0.00000 
 0.00000 

 0.01980  0.40745  0.42604 
 0.01980  0.83185  0.87938 
 0.89100  0.86003  0.92319 
 0.40590  0.64796  0.64161 
 0.08910  0.60676  0.61948 
 0.50490  0.46561  0.49417 
 0.70290  0.75736  0.76624 
 0.92070  0.84323  0.89375 
 0.99990  0.87437  0.94423 
 0.73260  0.30033  0.31098 
 0.85140  0.74987  0.75256 
 0.95040  0.81845  0.84263 
 0.20790  0.26909  0.29188 
 0.40590  0.37599  0.41080 
 0.78210  0.69011  0.67388 
 0.90090  0.55054  0.53703 
 0.50490  0.37920  0.39145 
 0.80190  0.70463  0.69234 
 0.36630  0.53145  0.53138 
 0.30690  0.20105  0.19211 
 0.58410  0.49457  0.50652 
 0.78210  0.66761  0.68491 
 0.50490  0.47117  0.51250 
 0.60390  0.41270  0.42210 
 0.00990  0.35545  0.38874 
 0.70290  0.60601  0.57526 
 0.99990  0.87765  0.94898 
 0.84150  0.80277  0.80342 
 0.76230  0.68634  0.66352 
 0.75240  0.70382  0.69885 
 0.50490  0.57804  0.59190 
 0.50490  0.44269  0.47890 
 0.92070  0.74978  0.75928 
 0.92070  0.64874  0.67805 
 0.80190  0.57566  0.60446 
 0.30690  0.59871  0.60624 
 0.67320  0.62266  0.63769 
 0.66330  0.37201  0.39343 
 0.60390  0.67668  0.65586 
 0.80190  0.74305  0.75358 
 0.50490  0.48144  0.48344 
 0.70290  0.52593  0.54204 
 0.55440  0.45467  0.47977 
 0.50490  0.38344  0.42330 
 0.75240  0.52816  0.57193 
 0.67320  0.60426  0.61005 
 0.75240  0.62345  0.63791 
 0.80190  0.66998  0.68684 
 0.99990  0.85525  0.91649 
 0.02970  0.40329  0.44440 
 0.83160  0.72087  0.71995 
 0.40590  0.36809  0.40506 
 0.33660  0.37348  0.40888 
 0.75240  0.62842  0.64926 
 0.65340  0.56672  0.58427 
 0.50490  0.36368  0.42345 
 0.33660  0.54408  0.55449 
 0.68310  0.56564  0.59779 
 0.00990  0.22323  0.25756 
 0.70290  0.57619  0.59770 
 0.90090  0.77885  0.79379 
 0.33660  0.26832  0.29868 
 0.67320  0.65723  0.64828 
 0.69300  0.64033  0.62886 
 0.60390  0.61383  0.56652 
 0.89100  0.80822  0.82364 
 0.67320  0.61406  0.58100 
 0.88110  0.79956  0.81483 
 0.55440  0.56051  0.52249 
 0.58410  0.77022  0.77843 
 0.39600  0.60658  0.59750 
 0.78210  0.77529  0.80470 
 0.40590  0.42122  0.44311 
 0.59400  0.39547  0.41742 
 0.83160  0.79015  0.81978 
 0.65340  0.64868  0.64933 
 0.75240  0.64334  0.65302 
 0.88110  0.78634  0.80818 
 0.80190  0.80119  0.82348 
 0.17820  0.64256  0.64452 
 0.45540  0.42400  0.45873 
 0.00990  0.18060  0.15566 
 0.94050  0.87378  0.94327 
 0.40590  0.51014  0.51704 
 0.20790  0.17576  0.17191 
 0.40590  0.46041  0.48359 
 0.38610  0.35523  0.37426 
 0.89100  0.76057  0.77660 
 0.36630  0.56941  0.57840 
 0.79200  0.60229  0.60215 
 0.99990  0.68488  0.69131 
 0.60390  0.40230  0.42219 
 0.50490  0.47324  0.49218 
 0.75240  0.65744  0.66276 
 0.65340  0.59871  0.60624 
 0.75240  0.69067  0.68861 
 0.50490  0.48034  0.49696 
 0.68310  0.53175  0.54664 
 0.50490  0.59227  0.60142 
 0.54450  0.52113  0.53143 
 0.33660  0.35329  0.36558 
 0.99990  0.82186  0.84644 
 0.33660  0.47222  0.46998 
 0.80190  0.67789  0.68582 
 0.17820  0.28801  0.31568 
 0.41580  0.27622  0.35558 
 0.59400  0.56869  0.59968 
 0.08910  0.39495  0.42418 
 0.20790  0.51973  0.53826 
 0.70290  0.61853  0.62733 
 0.60390  0.50192  0.52578 
 0.74250  0.59871  0.60624 
 0.78210  0.54112  0.57380 
 0.06930  0.26381  0.29486 
 0.95040  0.76896  0.80572 
 0.70290  0.56200  0.57366 
 0.80190  0.70770  0.71647 
 0.72270  0.60298  0.60909 
 0.90090  0.78559  0.82198 
 0.80190  0.57880  0.59962 
 0.78210  0.56845  0.58520 
 0.86130  0.73564  0.73264 
 0.22770  0.52847  0.55069 
 0.88110  0.67325  0.71096 
 0.78210  0.56272  0.58889 
 0.99990  0.67524  0.67614 
 0.89100  0.64361  0.66000 
 0.29700  0.21319  0.21904 
 0.18810  0.49803  0.51617 
 0.38610  0.29921  0.31001 
 0.74250  0.56845  0.58520 
 0.50490  0.51415  0.51993 
 0.47520  0.44054  0.44122 
 0.65340  0.62652  0.66207 
 0.80190  0.67943  0.68675 
 0.81180  0.72935  0.72687 
 0.52470  0.52805  0.55073 
 0.48510  0.52635  0.54201 
 0.27720  0.34301  0.37243 
 0.48510  0.59497  0.59662 
 0.37620  0.57293  0.58132 
 0.70290  0.65706  0.66280 
 0.27720  0.12167  0.04931 
 0.60390  0.55840  0.57853 
 0.68310  0.70781  0.70946 
 0.60390  0.53568  0.54875 
 0.92070  0.62915  0.62048 
 0.71280  0.66225  0.66661 
 0.99990  0.82192  0.86793 
 0.83160  0.79810  0.81315 
 0.41580  0.32234  0.33489 
 0.57420  0.48144  0.48344 
 0.83160  0.64328  0.65224 
 0.43560  0.48879  0.50270 
 0.68310  0.73145  0.72879 
 0.75240  0.77632  0.79866 
 0.68310  0.50916  0.52383 
 0.21780  0.17397  0.13351 
 0.71280  0.72164  0.71344 
 0.70290  0.65914  0.65697 
 0.99990  0.68644  0.68473 
 0.99990  0.88818  0.95947 
 0.54450  0.53011  0.53041 
 0.42570  0.58980  0.59277 
 0.79200  0.79019  0.81228 
 0.54450  0.54687  0.54940 
 0.50490  0.44365  0.47211 
 0.72270  0.75019  0.71602 
 0.83160  0.81580  0.83977 
 0.72270  0.50455  0.49871 
 0.82170  0.66312  0.65982 
 0.33660  0.67758  0.67806 
 0.27720  0.67524  0.67614 
 0.38610  0.63187  0.63689 
 0.19800  0.50071  0.51809 
 0.50490  0.75432  0.74186 
 0.33660  0.56691  0.56975 
 0.25740  0.73446  0.74591 
 0.00990  0.76208  0.75629 
 0.10890  0.48168  0.49793 
 0.24750  0.45824  0.44591 
 0.47520  0.79432  0.81684 
Beta is better if rb/ro<1 1.00435 
